OpenML
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 282 Supervised Classification heart-statlog 1419 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1759.4527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1770.8916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1759.6921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1749.2448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1769.9237, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1768.8639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1765.3022, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7824, f_measure: 0.7403, kappa: 0.4806, kb_relative_information_score: 38.3302, mean_absolute_error: 0.2953, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7437, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.445, root_relative_squared_error: 0.8878, scimark_benchmark: 1757.7382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1762.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1749.5336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1753.4094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1754.0951, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1761.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1773.4236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1757.2395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1751.4298, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1756.2017,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1768.5097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1761.7125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1761.6531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1751.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1757.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1758.0112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1753.7246, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1617.3353, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1617.8507, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.2098, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4504, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7026, scimark_benchmark: 1755.8669,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 50.5979, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4584, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7026, scimark_benchmark: 1745.4945,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.516, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4465, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7014, scimark_benchmark: 1750.7679,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1756.7828, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.808, kappa: 0.6161, kb_relative_information_score: 49.5565, mean_absolute_error: 0.2348, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.4713, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7055, scimark_benchmark: 1764.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1757.5316, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.911, f_measure: 0.7964, kappa: 0.5932, kb_relative_information_score: 45.8257, mean_absolute_error: 0.2593, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8024, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5205, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3589, root_relative_squared_error: 0.7162, scimark_benchmark: 1756.5867, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.1882, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4509, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.701, scimark_benchmark: 1759.986, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1763.1283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 50.8714, mean_absolute_error: 0.2266, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3517, root_relative_squared_error: 0.7018, scimark_benchmark: 1760.6497, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8073, kappa: 0.6155, kb_relative_information_score: 37.2665, mean_absolute_error: 0.3141, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8159, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.6305, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7449, scimark_benchmark: 1761.0809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1763.0265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8974, f_measure: 0.7807, kappa: 0.5683, kb_relative_information_score: 23.536, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8115, predictive_accuracy: 0.7865, prior_entropy: 0.9912, recall: 0.7865, relative_absolute_error: 0.786, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4135, root_relative_squared_error: 0.825, scimark_benchmark: 1760.2525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.2544, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1759.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.8846, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1758.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7238, kappa: 0.4742, kb_relative_information_score: 16.2982, mean_absolute_error: 0.4274, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8083, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.858, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4401, root_relative_squared_error: 0.8782, scimark_benchmark: 1751.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1750.6609, usercpu_time_millis: 0.01, usercpu_time_millis_testing: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1752.555, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs